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The expression label for each image represents the expression that the subject was asked to pose.
Therefore, the overall performance highly depends on the expression label which is insufficient to characterize data by the variations of pose, illumination, etc.
We trained a linear pattern classifier [Support Vector Machine (SVM ], independently per participant per region of V1, to learn the mapping between a set of multivariate brain observations and the corresponding expression label (happy or fear).
The green fluorescent protein (GFP) has been widely used in cell biology as a marker of gene expression, label of cellular structures, fusion tag or as a crucial constituent of genetically encoded biosensors.
To this end, we use previous data for 911 prokaryotic genomes (Krisko et al. 2014), where a statistical test was used to assign a binary high/low expression label to genes (Supek et al. 2010).
In order to have gene expression experiments included in our considerations we have a differential expression label function which assigns a K-dimensional vector D v) with entries + (overexpressed in cancer sample), − (underexpressed in cancer sample) and 0 (not differentially expressed in cancer sample) to each of the nodes where K is the number of cancer samples in the dataset.
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The software also requires thousands of examples of each facial expression, labeled by humans — hence the women in Cairo coding recorded expressions.
For facial expression analysis, one of the most popular databases is the Cohn-Kanade + [32], which contains facial action coding system (FACS) and generic expression labels.
The advances in protein cloning, expression, labeling, purification, protein crystallization and structure determination has resulted in a rapid increase in protein structures having been determined [1].
Typical laboratory uses include extraction, expression, labeling, and purification and analysis of proteins, DNA, plasmids, and RNA, from gels, magnetic beads, tissue, or biological samples.
This vector of labels will be referred to as "expression labels".
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